Package: countdata 1.3

Thang Pham
countdata: The Beta-Binomial Test for Count Data
The beta-binomial test is used for significance analysis of independent samples by Pham et al. (2010) <doi:10.1093/bioinformatics/btp677>. The inverted beta-binomial test is used for paired sample testing, e.g. pre-treatment and post-treatment data, by Pham and Jimenez (2012) <doi:10.1093/bioinformatics/bts394>.
Authors:
countdata_1.3.tar.gz
countdata_1.3.tar.gz(r-4.6-arm64)countdata_1.3.tar.gz(r-4.6-x86_64)countdata_1.3.tar.gz(r-4.5-arm64)countdata_1.3.tar.gz(r-4.5-x86_64)
countdata_1.3.tgz(r-4.5-emscripten)
countdata.pdf |countdata.html✨
countdata/json (API)
| # Install 'countdata' in R: |
| install.packages('countdata', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:6157e6ce4f. Checks:6 OK. Indexed: yes.
| Target | Result | Total time | Artifact |
|---|---|---|---|
| linux-devel-arm64 | OK | 104 | |
| linux-devel-x86_64 | OK | 120 | |
| source / vignettes | OK | 159 | |
| linux-release-arm64 | OK | 121 | |
| linux-release-x86_64 | OK | 110 | |
| wasm-release | OK | 91 |
Exports:bb.testfold.changeibb.testnormalize
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The beta-binomial test | bb.test |
| Fold change calculation | fold.change |
| The inverted beta-binomial test | ibb.test |
| Global normalization of count data | normalize |